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Journal articles on the topic 'Blood pressure determination'

Author: Grafiati

Published: 4 June 2021

Last updated: 29 July 2024

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1

Brett, Sally Emma, Antoine Guilcher, Brian Clapp, and Phil Chowienczyk. "Estimating central systolic blood pressure during oscillometric determination of blood pressure." Blood Pressure Monitoring 17, no. 3 (June 2012): 132–36. http://dx.doi.org/10.1097/mbp.0b013e328352ae5b.

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2

Perloff, D., C. Grim, J. Flack, E. D. Frohlich, M. Hill, M. McDonald, and B. Z. Morgenstern. "Human blood pressure determination by sphygmomanometry." Circulation 88, no. 5 (November 1993): 2460–70. http://dx.doi.org/10.1161/01.cir.88.5.2460.

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3

Szklo, M. "Determination of Blood Pressure in Children." Clinical and Experimental Hypertension. Part A: Theory and Practice 8, no. 4-5 (January 1986): 479–93. http://dx.doi.org/10.3109/10641968609046566.

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4

Mejia, A. D. "The Tecumseh Blood Pressure Study. Normative data on blood pressure self-determination." Archives of Internal Medicine 150, no. 6 (June 1, 1990): 1209–13. http://dx.doi.org/10.1001/archinte.150.6.1209.

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5

Frohlich, Edward D. "Recommendations for Blood Pressure Determination by Sphygmomanometry." Annals of Internal Medicine 109, no. 8 (October 15, 1988): 612. http://dx.doi.org/10.7326/0003-4819-109-8-612.

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6

Jones, David R., Kevina Perbhoo, and Marvin H. Braun. "Necrophysiological determination of blood pressure in fishes." Naturwissenschaften 92, no. 12 (December 2005): 582–85. http://dx.doi.org/10.1007/s00114-005-0046-1.

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7

Wilson, Marcus D., John J. Barron, Kjel A. Johnson, R. Walter Powell, Vipan C. Sood, Mark J. Cziraky, Jeffrey Kalmanowicz, Deborah J. Partsch, and John T. Patwell. "Determination of ambulatory blood pressure control in treated patients with controlled office blood pressures." Blood Pressure Monitoring 5, no. 5 (October 2000): 263–69. http://dx.doi.org/10.1097/00126097-200010000-00003.

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8

Cremer, Antoine, Leopold Codjo, Mark Butlin, Georgios Papaioannou, Sunthareth Yeim, Emilie Jan, Hosen Kiat, Alberto Avolio, and Philippe Gosse. "Determination of central blood pressure by a noninvasive method (brachial blood pressure and QKD interval)." Journal of Hypertension 31, no. 9 (September 2013): 1847–52. http://dx.doi.org/10.1097/hjh.0b013e328362bab9.

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9

Gorny, Deborah A. "Arterial Blood Pressure Measurement Technique." AACN Advanced Critical Care 4, no. 1 (February 1, 1993): 66–80. http://dx.doi.org/10.4037/15597768-1993-1007.

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Arterial blood pressure (BP) measurements, which include invasive direct methods and noninvasive indirect methods, provide a picture of the hemodynamic status of the patient. Invasive BP methods measure pressure pulse wave amplitude; noninvasive methods rely on blood flow or arterial wall motion as a basis for the determination of BP values. To obtain the most accurate BP value, the clinician must identify which measurement variables in a specific clinical situation are most contributory to error and, if possible, use a method of measurement for which the sources of error are not parallel. Blood pressure values obtained by different methods cannot be compared without a thorough understanding of the user-related and instrumentation-related limitations associated with each BP measurement technique

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10

Kammila, Srinu, Norman R. C. Campbell, Rollin Brant, Roberta deJong, and Bruce Culleton. "Systematic error in the determination of nocturnal blood pressure dipping status by ambulatory blood pressure monitoring." Blood Pressure Monitoring 7, no. 2 (April 2002): 131–34. http://dx.doi.org/10.1097/00126097-200204000-00007.

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11

Parazynski, S. E., B. J. Tucker, M. Aratow, A. Crenshaw, and A. R. Hargens. "Direct measurement of capillary blood pressure in the human lip." Journal of Applied Physiology 74, no. 2 (February 1, 1993): 946–50. http://dx.doi.org/10.1152/jappl.1993.74.2.946.

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In this study, we developed and tested a new procedure for measuring microcirculatory blood pressures above heart level in humans. Capillary and postcapillary venule blood pressures were measured directly in 13 human subjects by use of the servo-nulling micropressure technique adapted for micropuncture of lip capillaries. Pressure waveforms were recorded in 40 separate capillary vessels and 14 separate postcapillary venules over periods ranging from 5 to 64 s. Localization and determination of capillary and postcapillary vessels were ascertained anatomically before pressure measurements. Capillary pressure was 33.2 +/- 1.5 (SE) mmHg in lips of subjects seated upright. Repeated micropunctures of the same vessel gave an average coefficient of variation of 0.072. Postcapillary venule pressure was 18.9 +/- 1.6 mmHg. This procedure produces a direct and reproducible means of measuring microvascular blood pressures in a vascular bed above heart level in humans.

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12

WANG, JIA-JUNG, SHING-HONG LIU, TSIAR KAO, WEI-CHIH HU, and CHUN-PENG LIU. "NONINVASIVE DETERMINATION OF ARTERIAL PRESSURE-DEPENDENT COMPLIANCE IN YOUNG SUBJECTS USING AN ARTERIAL TONOMETER." Biomedical Engineering: Applications, Basis and Communications 18, no. 03 (June 25, 2006): 111–18. http://dx.doi.org/10.4015/s1016237206000191.

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The objective of this study is to determine the pressure-dependent compliance of human radial artery in young subjects. The arterial blood pressure and the change in vessel volume of the radial artery in ten normotensive volunteers were simultaneously measured with an arterial tonometer. The arterial global compliance was calculated as the division of change in vessel volume by the difference between the systolic and the diastolic blood pressures. The arterial global compliance measured from the ten young volunteers was found to be 4.645 ± 2.739 uL/mmHg. When the arterial pressure-volume relation was assumed to be of natural logarithm, a correlation coefficient of 0.996 was yielded by curve-fit methods. Similarly, when the arterial compliance-pressure relation was fit in a natural logarithmic form, a correlation coefficient of 0.998 was obtained. In conclusion, the arterial vessel volume varies with the arterial blood pressure logarithmicly and positively, whereas a logarithmic and negative relation between the arterial global compliance and arterial blood pressure is present in human radial arteries. Thus, it is for all time necessary to take the pressure level into account if we want to compare compliance values obtained from distinct physiological situations.

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13

Schlager, G., B. R. Barber, and G. Bianchi. "Genetic analysis of blood pressure in the Milan hypertensive strain of rat (Rattus norvegicus)." Canadian Journal of Genetics and Cytology 28, no. 6 (December 1, 1986): 967–70. http://dx.doi.org/10.1139/g86-134.

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Estimates of heritability (h2) of blood pressure level and the number of loci controlling the trait were derived from two genetic crosses involving the Milan hypertensive strain of rat and its control with normal blood pressure. In the genetic cross involving backcrosses, the estimates were h2 = 64% and the number of loci was two or three; there was some evidence of dominance of the alleles for normal blood pressures. In the other cross with only F2's, the degree of genetic determination (heritability in the broad sense) was 45%, involving at least three loci.Key words: rat, blood pressure, models, quantitative inheritance.

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14

Barthélémy, J. C., A. Geyssant, C. Auboyer, A. Antoniadis, T. J. Berruyer, and J. R. Lacour. "Accuracy of ambulatory blood pressure determination: a comparative study." Scandinavian Journal of Clinical and Laboratory Investigation 51, no. 5 (January 1991): 461–66. http://dx.doi.org/10.3109/00365519109091640.

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15

Herscovici, Harry, and Dean H. Roller. "Noninvasive Determination of Central Blood Pressure by Impedance Plethysmography." IEEE Transactions on Biomedical Engineering BME-33, no. 6 (June 1986): 617–25. http://dx.doi.org/10.1109/tbme.1986.325843.

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16

Strugo, V., F. J. Glew, J. Davis, and L. H. Opie. "Update: Recommendations for human blood pressure determination by sphygmomanometers." Hypertension 16, no. 5 (November 1990): 594. http://dx.doi.org/10.1161/01.hyp.16.5.594.

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17

Lichtenberger, Marla. "Determination of Indirect Blood Pressure in the Companion Bird." Seminars in Avian and Exotic Pet Medicine 14, no. 2 (April 2005): 149–52. http://dx.doi.org/10.1053/j.saep.2005.04.010.

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18

Martin, Blake, Peter DeWitt, David Albers, and Tellen Bennett. "687: NOVEL TOOLS FOR PEDIATRIC BLOOD PRESSURE PERCENTILE DETERMINATION." Critical Care Medicine 51, no. 1 (December 15, 2022): 334. http://dx.doi.org/10.1097/01.ccm.0000908480.67296.6c.

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19

Ma, Yinji, Jungil Choi, Aurélie Hourlier-Fargette, Yeguang Xue, Ha Uk Chung, Jong Yoon Lee, Xiufeng Wang, et al. "Relation between blood pressure and pulse wave velocity for human arteries." Proceedings of the National Academy of Sciences 115, no. 44 (October 15, 2018): 11144–49. http://dx.doi.org/10.1073/pnas.1814392115.

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Continuous monitoring of blood pressure, an essential measure of health status, typically requires complex, costly, and invasive techniques that can expose patients to risks of complications. Continuous, cuffless, and noninvasive blood pressure monitoring methods that correlate measured pulse wave velocity (PWV) to the blood pressure via the Moens−Korteweg (MK) and Hughes Equations, offer promising alternatives. The MK Equation, however, involves two assumptions that do not hold for human arteries, and the Hughes Equation is empirical, without any theoretical basis. The results presented here establish a relation between the blood pressure P and PWV that does not rely on the Hughes Equation nor on the assumptions used in the MK Equation. This relation degenerates to the MK Equation under extremely low blood pressures, and it accurately captures the results of in vitro experiments using artificial blood vessels at comparatively high pressures. For human arteries, which are well characterized by the Fung hyperelastic model, a simple formula between P and PWV is established within the range of human blood pressures. This formula is validated by literature data as well as by experiments on human subjects, with applicability in the determination of blood pressure from PWV in continuous, cuffless, and noninvasive blood pressure monitoring systems.

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20

Huang, Kuan-Hua, Fu Tan, Tzung-Dau Wang, and Yao-Joe Yang. "A Highly Sensitive Pressure-Sensing Array for Blood Pressure Estimation Assisted by Machine-Learning Techniques." Sensors 19, no. 4 (February 19, 2019): 848. http://dx.doi.org/10.3390/s19040848.

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This work describes the development of a pressure-sensing array for noninvasive continuous blood pulse-wave monitoring. The sensing elements comprise a conductive polymer film and interdigital electrodes patterned on a flexible Parylene C substrate. The polymer film was patterned with microdome structures to enhance the acuteness of pressure sensing. The proposed device uses three pressure-sensing elements in a linear array, which greatly facilitates the blood pulse-wave measurement. The device exhibits high sensitivity (−0.533 kPa−1) and a fast dynamic response. Furthermore, various machine-learning algorithms, including random forest regression (RFR), gradient-boosting regression (GBR), and adaptive boosting regression (ABR), were employed for estimating systolic blood pressure (SBP) and diastolic blood pressure (DBP) from the measured pulse-wave signals. Among these algorithms, the RFR-based method gave the best performance, with the coefficients of determination for the reference and estimated blood pressures being R2 = 0.871 for SBP and R2 = 0.794 for DBP, respectively.

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21

Ernst, M. E., G. S. Sezate, W. Lin, C. A. Weber, J. D. Dawson, B. L. Carter, and G. R. Bergus. "Indication-specific 6-h systolic blood pressure thresholds can approximate 24-h determination of blood pressure control." Journal of Human Hypertension 25, no. 4 (June 24, 2010): 250–55. http://dx.doi.org/10.1038/jhh.2010.66.

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22

Stevenson, G. W., Babette Horn, and Steven C. Hall. "A simple method of blood pressure determination in pediatric patients when automated noninvasive blood pressure measurement fails." Journal of Clinical Anesthesia 7, no. 6 (September 1995): 549–50. http://dx.doi.org/10.1016/0952-8180(95)00061-l.

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23

Miao, Chao-Yu, He-Hui Xie, Lin-Shu Zhan, and Ding-Feng Su. "Blood pressure variability is more important than blood pressure level in determination of end-organ damage in rats." Journal of Hypertension 24, no. 6 (June 2006): 1125–35. http://dx.doi.org/10.1097/01.hjh.0000226203.57818.88.

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24

Chen, Lingguang, Sean F. Wu, Yong Xu, William D. Lyman, and Gaurav Kapur. "Calculating Blood Pressure Based on Measured Heart Sounds." Journal of Computational Acoustics 25, no. 03 (September 2017): 1750014. http://dx.doi.org/10.1142/s0218396x1750014x.

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The current standard technique for blood pressure determination is by using cuff/stethoscope, which is not suited for infants or children. Even for adults such an approach yields 60% accuracy with respect to intra-arterial blood pressure measurements. Moreover, it does not allow for continuous monitoring of blood pressure over 24 h and days. In this paper, a new methodology is developed that enables one to calculate the systolic and diastolic blood pressures continuously in a non-invasive manner based on the heart beats measured from the chest of a human being. To this end, we must separate the first and second heart sounds, known as S1 and S2, from the directly measured heart sound signals. Next, the individual characteristics of S1 and S2 must be identified and correlated to the systolic and diastolic blood pressures. It is emphasized that the material properties of a human being are highly inhomogeneous, changing from one organ to another, and the speed at which the heart sound signals propagate inside a human body cannot be determined precisely. Moreover, the exact locations from which the heart sounds are originated are unknown a priori, and must be estimated. As such, the computer model developed here is semi-empirical. Yet, validation results have demonstrated that this semi-empirical computer model can produce relatively robust and accurate calculations of the systolic and diastolic blood pressures with high statistical merits.

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25

Pinto, E., C. J. Bulpitt, N. Beckett, R. Peters, W. Banya, C. Nachev, V. Gergova, et al. "THE DETERMINATION OF AMBULATORY BLOOD PRESSURE IN VERY ELDERLY HYPERTENSIVES." Journal of Hypertension 22, Suppl. 2 (June 2004): S22—S23. http://dx.doi.org/10.1097/00004872-200406002-00067.

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26

Antonova, Mariya L. "Noninvasive determination of arterial elasticity and blood pressure. Part I." Blood Pressure Monitoring 18, no. 1 (February 2013): 32–40. http://dx.doi.org/10.1097/mbp.0b013e32835b9d5f.

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27

Antonova, Mariya L. "Noninvasive determination of arterial elasticity and blood pressure. Part II." Blood Pressure Monitoring 18, no. 1 (February 2013): 41–49. http://dx.doi.org/10.1097/mbp.0b013e32835b9e57.

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28

Barbara, David W., Troy G. Seelhammer, and William J. Mauermann. "Noninvasive Blood Pressure Determination in Left Ventricular Assist Device Patients." Anesthesiology 127, no. 5 (November 1, 2017): 902–3. http://dx.doi.org/10.1097/aln.0000000000001853.

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29

Gosling, P., and G. Dickson. "Syringe Injection Pressure: A Neglected Factor in Blood Po2 Determination." Annals of Clinical Biochemistry: An international journal of biochemistry and laboratory medicine 27, no. 2 (March 1, 1990): 147–51. http://dx.doi.org/10.1177/000456329002700211.

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30

Forster, F. K., and D. Turney. "Oscillometric Determination of Diastolic, Mean and Systolic Blood Pressure—A Numerical Model." Journal of Biomechanical Engineering 108, no. 4 (November 1, 1986): 359–64. http://dx.doi.org/10.1115/1.3138629.

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A theoretical model of oscillometric blood pressure measurement is presented. Particular emphasis is paid to the collapse behavior of the artery, and an exponential volume-pressure curve is used. The results of this study suggest that mean blood pressure can be accurately predicted from the peak of the oscillometric curve if corrections related to the cuff pressure waveform are applied. It is also shown, however, that systolic and diastolic pressure may not in general be accurately determined from fixed amplitude ratios based on the oscillometric peak due to the sensitivity of the method to variations in blood pressure waveform, pulse pressure, and arterial compliance. No simple procedures are found to correct for these effects.

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31

Jonas, J. B. "Ophthalmodynamometric determination of the central retinal vessel collapse pressure correlated with systemic blood pressure." British Journal of Ophthalmology 88, no. 4 (April 1, 2004): 501–4. http://dx.doi.org/10.1136/bjo.2003.030650.

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32

Isago, T., L. D. Traber, D. N. Herndon, S. Abdi, K. Fujioka, and D. L. Traber. "Determination of pulmonary microvascular reflection coefficient in sheep by venous occlusion." Journal of Applied Physiology 69, no. 6 (December 1, 1990): 2311–16. http://dx.doi.org/10.1152/jappl.1990.69.6.2311.

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We devised a technique that permitted elevation of pulmonary pressures in unanesthetized sheep by occluding their pulmonary veins. Using this technique, we raised pulmonary capillary pressure from a baseline of 13.2 +/- 2.2 to 35.3 +/- 5.1 mmHg. This increased lung lymph flow (from 8.8 +/- 2.7 to 53.1 +/- 13.9 ml/h). We estimated the pulmonary microvascular oncotic reflection coefficient and found it to be 0.82 +/- 0.05 (SD). The filtration coefficient was 0.019 +/- 0.005 ml.mmHg-1.min-1. During the period of increased pressure, the animals had stable arterial pressures and cardiac outputs. None of the animals developed blood coagulation problems. These data illustrate the usefulness of pulmonary venous occlusion to elevate pulmonary microvascular pressure to obtain plasma-to-lymph protein concentration ratios independent of flow, allowing for the calculation of the oncotic reflection coefficient.

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33

Imai, Y., K. Abe, S. Sasaki, N. Mxnami, M. Munakata, H. Sekino, M. Nihei, and K. Yoshinaga. "Determination of Clinical Accuracy and Nocturnal Blood Pressure Pattern by New Portable Device for Monitoring Indirect Ambulatory Blood Pressure." American Journal of Hypertension 3, no. 4 (April 1, 1990): 293–301. http://dx.doi.org/10.1093/ajh/3.4.293.

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34

Wiede, Christian, Julia Richter, and Gangolf Hirtz. "An evaluation study of vital parameter determination with RGB cameras in the field of ambient assisted living." Current Directions in Biomedical Engineering 3, no. 2 (September 7, 2017): 729–33. http://dx.doi.org/10.1515/cdbme-2017-0154.

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AbstractThe remote determination of vital parameters can contribute to the field of ambient assisted living (AAL) to face the challenges of a steadily ageing society. In this study, we examined the possibility to remotely measure the four vital parameters heart rate, respiration rate, oxygen saturation and blood pressure in AAL environments. For this, we evaluated the state of the art, implementations and concepts. While, the determination of heart and respiration rate is ready for usage, further attention has to be paid to the determination of oxygen saturation and blood pressure.

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35

ZBINDEN, A. M., F. J. FREI, B. FUNK, D. A. THOMSON, and D. WESTENSKOW. "DETERMINATION OF THE PARTIAL PRESSURE OF HALOTHANE (OR ISOFLURANE) IN BLOOD." British Journal of Anaesthesia 57, no. 8 (August 1985): 796–802. http://dx.doi.org/10.1093/bja/57.8.796.

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36

Freedman, David S. "Determination of Body Size Measures and Blood Pressure Levels among Children." Jornal de Pediatria (Versão em Português) 89, no. 3 (May 2013): 211–14. http://dx.doi.org/10.1016/j.jpedp.2013.03.003.

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37

Freedman, David S. "Determination of body size measures and blood pressure levels among children." Jornal de Pediatria 89, no. 3 (May 2013): 211–14. http://dx.doi.org/10.1016/j.jped.2013.03.018.

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38

Diaz, Keith M., Oscar Flores-Medrano, Anthony J. Viera, Eduardo Mari, Joseph E. Schwartz, and Daichi Shimbo. "Determination of an office blood pressure cutpoint that excludes ambulatory hypertension." Journal of the American Society of Hypertension 8, no. 4 (April 2014): e52. http://dx.doi.org/10.1016/j.jash.2014.03.112.

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39

Schima, Heinrich, Herbert Boehm, Leopold Huber, Helmut Schmallegger, Michael Vollkron, Michael Hiesmayr, Robert Noisser, and Georg Wieselthaler. "Automatic System for Noninvasive Blood Pressure Determination in Rotary Pump Recipients." Artificial Organs 28, no. 5 (May 2004): 451–57. http://dx.doi.org/10.1111/j.1525-1594.2004.07095.x.

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40

Baura, Gail D. "Method and apparatus for the noninvasive determination of arterial blood pressure." Journal of the Acoustical Society of America 113, no. 5 (2003): 2395. http://dx.doi.org/10.1121/1.1584184.

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41

Gaspar, L., A. Komornikova, M. Caprnda, and J. Bulas. "PROGNOSTIC SIGNIFICANCE OF THE DETERMINATION OF THE DIURNAL BLOOD PRESSURE INDEX." Journal of Hypertension 37 (July 2019): e258. http://dx.doi.org/10.1097/01.hjh.0000573296.36542.5a.

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42

Park, Sun Oak, Chang Yee Hong, Seung Whan Paik, and Hye Sook Yun-Choi. "Determination of blood concentration of higenamine by high pressure liquid chromatography." Archives of Pharmacal Research 10, no. 1 (March 1987): 60–66. http://dx.doi.org/10.1007/bf02855622.

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43

Belani, Kumar G., Joseph J. Buckley, and Marius O. Poliac. "Accuracy of radial artery blood pressure determination with the Vasotrac™." Canadian Journal of Anesthesia/Journal canadien d'anesthésie 46, no. 5 (May 1999): 488–96. http://dx.doi.org/10.1007/bf03012951.

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44

Garver, Matthew J., Libby E. McCurley, and Joe D. Bell. "Discrepancy in Auscultation and Oscillometric Determination of Blood Pressure Based on Visual Display of Pressure." Medicine & Science in Sports & Exercise 46 (May 2014): 838. http://dx.doi.org/10.1249/01.mss.0000496011.17497.a2.

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45

Andreev, V. M. "Diagnostic value of pulmonary-ear blood flow velocity and peripheral venous pressure determination." Kazan medical journal 77, no. 5 (October 15, 1996): 392–94. http://dx.doi.org/10.17816/kazmj104640.

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A slowing of the blood flow rate (BFR) is one of the earliest signs of circulatory insufficiency. In 1935, oxyhemometric determination of the velocity of blood flow in the small circle of circulation was proposed. Although the pulmonary-ear SC determination method includes the areas of the large and small circulatory circle, it mainly characterizes the blood flow through the pulmonary vein system - from the pulmonary capillaries to the left ventricle. Blood from aorta reaches ear capillaries very quickly due to high velocity of movement through arterial system, so this time can be neglected. The oxyhemometric and isotopic methods have been shown to give similar results. The oxyhemometric method for determining SC in the small circle is considered to be the best.

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46

Expósito, Carmen, Guillem Pera, Lluís Rodríguez, Ingrid Arteaga, Alba Martínez, Alba Alumà, María Doladé, Pere Torán, and Llorenç Caballeria. "Prevalence of Early Chronic Kidney Disease and Main Associated Factors in Spanish Population: Populational Study." Journal of Clinical Medicine 8, no. 9 (September 4, 2019): 1384. http://dx.doi.org/10.3390/jcm8091384.

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The aim of this study was to determine the prevalence of early chronic kidney disease (EKD) (stages 1 and 2) and the factors associated. This was a populational study including individuals from 18–75 years randomly selected from 18 Primary Healthcare centers in the area of Barcelonès Nord and Maresme (Catalunya, Spain). Variables: anamnesis, physical examination, blood pressure, and analysis. EKD was defined with by a glomerular filtration rate (GFR) ≥60 mL/min/1.73 m2 and albumin/creatinine ratio (ACR) ≥17 mg/g in men and ≥25 mg/g in women confirmed with two determinations. 2871 individuals: 43% men, mean age 55 years (19–75), 32.2% obese, 50.5% abdominal obesity, 21.1% hypertensive, and 10.6% diabetic. Prevalence of EKD: With one determination 157 individuals (5.5%), 110 men (9%) and 47 women (2.8%); with two determinations 109 individuals (3.8%), 85 men (7%), and 24 women (1.5%). Factors independently associated with the multivariate logistic regression model: Man (OR 3.35), blood pressure ≥ 135/85 mmHg (OR 2.29), BMI ≥ 30 kg/m2 (OR 2.48), glycemia ≥ 100 mg/dL (OR 1.73), smoker (OR 1.67) and age (OR 1.04). The prevalence varies if the diagnosis is established based on one or two analytical determinations, overestimated if only one determination is made and depends on the value chosen to define urine albumin excretion.

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47

Martínez, Fernando, Elena Solaz, Mªnieves Sanz, José Antonio Costa, Veronica Escudero, Lucas Serna, Andrea De Castro, and Josep Redon. "HOME BLOOD PRESSURE MONITORING VALIDATION SURVEY." Journal of Hypertension 42, Suppl 1 (May 2024): e75-e76. http://dx.doi.org/10.1097/01.hjh.0001020004.43875.ea.

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Objective: To evaluate home blood pressure monitoring (HBPM) habits and the validation of blood pressure (BP) devices in patients with chronic hypertension. Design and method: An anonymous electronic survey was conducted targeting chronic hypertensives who engage in HBPM to identify deficiencies in usage and device validation, referencing StrideBP.org for device validation status. Multivariable logistic regression, adjusted for confounding variables, was used to pinpoint factors tied to inadequate BP control. Results: The study included 90 participants with a mean age of 59.2 years, 70% male, and an average BMI of 28.2 kg/m2. These individuals had been managing hypertension for an average of 13.1 years and were on 1.8 antihypertensive medications; 26.6% had complications related to hypertension. The survey's response rate was 42.7%. Device validation showed 64.6% were validated, 35.4% were not, and 8 lacked sufficient information for determination. Arm devices, comprising 85.6% of the total, were validated more often (74.3%) compared to wrist devices (8.3%, p<0.001). Omron/Beurer were the leading brands among validated devices, while Vitalcontrol/Medisana were prominent among non-validated ones. Only 31% of patients were aware of their device's validation status. The frequency of BP measurements varied, with an average of nearly 9 per week, and some measuring 1-2 times biweekly or monthly. The average number of consecutive readings was 2.5, predominantly using the left arm (83.3%). While 75.6% documented their BP, mainly on paper (60.7%), only 20% adhered to pre-consultation measurement guidelines. Forty percent regularly shared their HBPM data with their physician. Despite 84.4% knowing their BP levels, only 37% were controlled (BP<135/85 mmHg). In the adjusted multivariable logistic regression model, the use of validated devices was a significant risk factor for the lack of BP control (OR 3.7, p=0.010). Conclusions: The findings, albeit limited by sample size and potential biases, underscore the need for improvements in HBPM utilization and device validation awareness.

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Karlov, A. A., Nataliya A. Karlova, E. A. Zolozova, N. A. Mazur, E. V. Sayutina, and V. V. Chigineva. "The use of oscillometric higly accurate blood pressure monitor for the determination of the ankle-brachial index in examination of patients at suspicion on lower limbs arteries atherosclerosis." Medical and Social Expert Evaluation and Rehabilitation 19, no. 1 (March 15, 2016): 40–45. http://dx.doi.org/10.18821/1560-9537-2016-19-1-40-45.

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Atherosclerotic involvement of lower limbs arteries is a common disorder associated with a high risk of cardiovascular morbidity and mortality, requiring an early start of the comprehensive therapy. Typical clinical manifestations of this disease are found only in some patients that encumbers to make timely diagnosis. Determination of ankle-brachial index (ABI) is a reliable approach of the assessment of the state of blood flow in the lower extremities, but the classical technique requires the participation of specially trained personnel and expensive equipment. In the article there is discussed the use of widely available oscillometric blood pressure monitors for the determination of ABI. In a group of 39 patients with high risk of the development of atherosclerosis there was performed a comparison of the results of the determination of ABI with the help of oscillographic blood pressure monitors and ABI evaluated by the method of volumetric sphygmography. There was shown the sufficient accuracy of the determination of ABI with the aid of oscillographic blood pressure monitors and the interrelationship of this index with the risk of detection ofsignificant atherosclerotic involvement of lower limbs arteries according to Doppler ultrasound data. There was demonstrated that this method can be used at the stage of outpatient examination of patients with a high risk for atherosclerotic involvement of lower limbs arteries.

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Vennin, Samuel, Alexia Mayer, Ye Li, Henry Fok, Brian Clapp, Jordi Alastruey, and Phil Chowienczyk. "Noninvasive calculation of the aortic blood pressure waveform from the flow velocity waveform: a proof of concept." American Journal of Physiology-Heart and Circulatory Physiology 309, no. 5 (September 2015): H969—H976. http://dx.doi.org/10.1152/ajpheart.00152.2015.

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Estimation of aortic and left ventricular (LV) pressure usually requires measurements that are difficult to acquire during the imaging required to obtain concurrent LV dimensions essential for determination of LV mechanical properties. We describe a novel method for deriving aortic pressure from the aortic flow velocity. The target pressure waveform is divided into an early systolic upstroke, determined by the water hammer equation, and a diastolic decay equal to that in the peripheral arterial tree, interposed by a late systolic portion described by a second-order polynomial constrained by conditions of continuity and conservation of mean arterial pressure. Pulse wave velocity (PWV, which can be obtained through imaging), mean arterial pressure, diastolic pressure, and diastolic decay are required inputs for the algorithm. The algorithm was tested using 1) pressure data derived theoretically from prespecified flow waveforms and properties of the arterial tree using a single-tube 1-D model of the arterial tree, and 2) experimental data acquired from a pressure/Doppler flow velocity transducer placed in the ascending aorta in 18 patients (mean ± SD: age 63 ± 11 yr, aortic BP 136 ± 23/73 ± 13 mmHg) at the time of cardiac catheterization. For experimental data, PWV was calculated from measured pressures/flows, and mean and diastolic pressures and diastolic decay were taken from measured pressure (i.e., were assumed to be known). Pressure reconstructed from measured flow agreed well with theoretical pressure: mean ± SD root mean square (RMS) error 0.7 ± 0.1 mmHg. Similarly, for experimental data, pressure reconstructed from measured flow agreed well with measured pressure (mean RMS error 2.4 ± 1.0 mmHg). First systolic shoulder and systolic peak pressures were also accurately rendered (mean ± SD difference 1.4 ± 2.0 mmHg for peak systolic pressure). This is the first noninvasive derivation of aortic pressure based on fluid dynamics (flow and wave speed) in the aorta itself.

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Ospanova, Ainur, Aiman Kerimkulova, Viktor Veber, Akbayan Markabayeva, Riza Nurpeissova, and Madina Adiyeva. "DETERMINATION OF WAIST CIRCUMFERENCE IN ADOLESCENTS AS A PREDICTION TOOL OF CARDIOVASCULAR RISK FACTORS." Journal of Hypertension 42, Suppl 1 (May 2024): e100. http://dx.doi.org/10.1097/01.hjh.0001020280.41828.8e.

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Objective: to assess the efficiency of WC at teenagers in prognostication of cardiovascular risk factors Design and method: Cross-sectional study developed with 1519 adolescents aged 12-13 years (average age, standard deviation 12.3 + 0.46 years). The prevalence of hypertension was assessed and its relationship with waist circumference. Criteria for assessing blood pressure of adolescents are identified by the following data: normal blood pressure (systolic and dyastolic blood pressure <89 percentile); high normal blood pressure (systolic and dyastolic blood pressure < 90 and 94 percentile); hypertension (systolic and dyastolic blood pressure 95 percentile). The analysis and processing of statistical data were carried out using the SPSS (version 22) program. The Pearson Chi squared test was used for comparison between groups and the presence of relationships between them or Fisher test for the difference between the proportions. The criterion for the statistical significance of the obtained results was considered the value of p <0.05. ROC analysis was used to study the relationship between waist circumference and overweight/obesity. The distinctive impact of waist circumference on the development of these states was expressed as the area under the curve (AUC 95% CI) Results: From 1519 studied teenagers of 12-13 years, boys were 49.1% (n=745), girls 50.9% (n=774) respectively. Population with normal BP composed 62.7%, normal raised blood pressure - 24.8%, Hypertension-12.4%. There were conducted measurements of waist circumference as a method of indirect assessment of abdominal obesity. There was revealed WC 90P 98.5% (n=939) of teenagers that shows insignificant number of the adolescents suffering from abdominal obesity. The distribution by sex was: with a normal waist circumference value 98.8% among boys, 94.7% girls respectively, girls are more likely to have abdominal obesity than boys, (Chi squared test = 19.940, df = 1, P 0.001) Conclusions: waist circumference rates are not as popular among children and adolescents in comparison with adults. According the obtained data of high sensitivity and specificity, it is possible to recommend active use of waist circumference in clinical practice for the early detection for the assessment of the risk of developing cardiovascular diseases regarding maturity

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